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The Big Trends in
BI Competency Centers
Timo Elliott, Innovation Evangelist, SAP
March 2016
@timoelliott
Agenda
• The Brave New World
• What Changed?
• Supporting “Modern BI”
• The New BICC
• Conclusion
@timoelliott
Brave New World
First, Some Bad News: The BICC is (Officially) Dead
“Beautiful plumage!”
“When Gartner started to cover
BICC as a trend over 10 years
ago, it turned out to be one of the
biggest success factors f...
Don’t Worry, It Turns Out BI is Also Dead…
Are You a BI-nosaur?
@timoelliott
Are You an “IT-Centric Laggard”?!
@timoelliott
Latest Gartner Magic Quadrant….
Mentions the word “users”
148x
Mentions of “users”
148
@timoelliott
What Changed?
What Changed?
New technologies mean new opportunities and new ways of working
@timoelliott
“I Can Drive Myself, Thanks…”
@timoelliott
Analytics Took
Over the World
Analytics is now
the hottest trend in
business, not just
in IT
Business people
now want to h...
The Rise of the Chief Innovation Officer and Chief Data Officer
@timoelliott
The Future of the CIO
Chief Innovation Officers
Chief Infrastructure Officers
BICCs (Continue To!) Bring Big Benefits
Survey conducted by BetterManagement.com
24%
26%
45%
45%
48%
74%
Decreased softwar...
But BICCs Haven’t Actually Been Driving BI
Functions
Driving
Business
Intelligence
0 0.5 1 1.5 2 2.5 3 3.5 4 4.5
BICC
Mark...
Who Drives Business Intelligence?
Executives Finance
Operations
IT
Sales
Strategic
Planning
Mktg
BICC
BI Success…
BI initiatives described as
"successful" dropped from
41% to 35% in 2015
Source: TechTaget
The Penetration of BI Remains Low
“Close to 40% of organizations report
fewer than 10% of employees using BI”
Techtarget, ...
Do People Actually USE Data?
Room for improvement…
@timoelliott
Enterprise systems are
too slow
31% wait days or
weeks for an average BI request
@timoelliott
Enterprise BI: too little data, and too hard to use
@timoelliott
Business Users Do Not Fully Trust Enterprise Data
@timoelliott
So users turn to their
own systems…
40% are using an equal amount or
more of homegrown applications
@timoelliott
Hubris
@timoelliott
New Conflicts
Internally-oriented
Costs
Governance
Efficient reuse
Customer-facing
Opportunities
Flexibility and speed
Exp...
“Do business people see you as Uber?
Or the taxi company?”
Supporting Modern BI
Data-Driven Approach
Push:
• From IT
• Data-Driven
• Data to Insight
• Technology-Centric
@timoelliott
Value-Driven Approach
Pull:
• From LOB
• Outcome-Driven
• Insight to Data
• Use-Case-Centric
@timoelliott
Combination Approach
Push:
• From IT
• Data-Driven
• Data to Insight
• Technology-Centric
Pull:
• From LOB
• Outcome-Drive...
You Need Both of These
@timoelliott
“Modern BI”
Source: Gartner
@timoelliott
“Modern BI”
DATA Self-service
data preparation
Structured / Unstructured
Internal / External
Batch / Streaming
Integration...
“…currently dominated by IT-centric
platforms, but many will be replaced
by modern BI platforms over time
“new market guid...
Systems of Insight
“Earlier-Generation BI Is No Longer Enough”
• Earlier-generation BI can’t keep up in the age of
the cus...
We Still Need Industrial Scale BI and Reporting
Where did
that number
come from?!
Why all these
information
silos?!
What a...
Traditional, IT-Led BI still makes up 75% of BI Revenue
"About $12Bn of the
$16Bn BI revenue is no
longer on the quadrant”...
Change Is Good — You Go First
IT people are open
to the idea — but in
no hurry…
@timoelliott
The Role of Central IT in Modern BICCs?
Everything in
moderation (doh!)
@timoelliott
Top BI Functionality
18%
19%
25%
35%
53%
69%
Query & Analysis
Data Discovery
Alerts
Dashboards
Reports
Spreadsheets
Source...
The New BICC
So What Replaces BICCs? (According to Gartner)
Long live the
“Analytic Community of
Excellence”!
@timoelliott
Updating the Traditional BICC to Include Community
A Business Intelligence Competency Center (BICC)
is a cross-functional ...
It’s About Culture Change First and Foremost
From Power to Empower
From Collection to Connection
From Control to Trust
New...
From Power to
Empower
@timoelliott
“If you don’t reveal some insights soon, I’m going
to be forced to slice, dice, and drill!”
TimoElliott.com
Start Asking Q...
Consider an External Audit
“I can recommend this exercise. I know a lot of
departments who work with BI think they know
th...
The Traditional BICC Setup
Business Intelligence that is:
• Standardized
• Repeatable
• Clearly understood across the comp...
“A new extension? That’ll cost ya, guv…”
@timoelliott
“And would you like some fresh reports with that, Sir?”
@timoelliott
“You fly the planes — we just make sure you don’t
crash into each other”@timoelliott
Embrace Shadow IT
Don’t fight back—be a co-conspirator…
@timoelliott
Build a Community
• Co-located wherever possible
• Regular meetings
• External speakers
• Shared best practice
• Leverage ...
Organization
@timoelliott
The Main Functions and Responsibilities of a BICC
All of this is still important —
but should be pushed to the
community a...
Functional Areas of the BI Competency Center
Text
Business
Intelligence
Program
BI Delivery
Data
Stewardship
Training
Adva...
Functional Areas of the BI Competency Community
Text
Business
Intelligence
Program
BI Delivery
Data
Stewardship
Training
A...
Leverage Social Platforms
@timoelliott
Store, maintain, integrate data
Implement changes
Summarize and analyze
Discover and explore
Link to corporate strategy
Al...
The
Right
Tools
Broad, Powerful Tools Detailed, Precision Tools
@timoelliott
Fewer BI Tools Correlated with Higher Success
BI Standardization
The pragmatic reduction of the
number of overlapping BI t...
Invest in Self-Service Data Discovery Tools
“Through 2020 spending
on self-service visual
discovery and data
preparation m...
Revenge of the Full Client
Long live Deski’s
descendants
@timoelliott
Invest in Self-Service Data Preparation
SAP Agile Data Preparation
AKA “Data Blending” —
combine, merge, cleanse data
@tim...
Invest in New Technology Areas
Makes sense
A bit
confusing
@timoelliott
Invest in Communications
Effective communication is the
bedrock of a successful BICC —
Involves skills that aren’t always
...
@timoelliott
Celebrate Success!
@timoelliott
Promote
contest
Help
prepare
entries
Ask Execs
to judge
Award
prizes
Promote
winners
Support Data Visualization
Not using pie charts
Ease of use,
training, data
quality,
incentives,
organization,
process, et...
BUT Visualization Sells
@timoelliott
Flashy graphics can make useful sales tools early
on in the lifecycle of rolling out data visualization —
but encourage be...
Integrate BI into Executive Decision Cycles
When was the last time you
audited your decision-making
processes?
US Retailer...
Invest in Advanced Analytics@timoelliott
Cloud Analytics Can Help Agility
It’s not Pie in the Sky!
Data gravity: BI in the cloud when the data’s in the cloud
@timo...
Be Proactive: Drive Innovation
Design thinking is a methodology to unlock solutions to questions you never would have aske...
From Collect to Connect
Data Wranglers needed
@timoelliott
A Central Source of Truth?
Having centralized “source
of truth” appears to
correlate BI success…
[But we’re maybe asking
t...
Is Centralized Truth Dead, Too?
“So we don’t need a centralized truth?!”
“Absolutely. Never worked, doesn’t work, will not...
Most of the data users need isn’t in the system
“We found, on average, that 45% of the data
business people use resides ou...
Leave Data Where It Is (as much as possible)
Data
Warehouse
Hybrid
Transaction/
Analytical
Processing
Hadoop,
MongoDB,
Spa...
Sandbox
@timoelliott
84© 2015 SAP SE or an SAP affiliate company. All rights reserved.@timoelliott
From Control To Trust
Information Governance
“Stopping people from doing dumb things with data”
(Yes, it’s a VAST topic…)@timoelliott
What Can (And Typically Does) Go Wrong Without Governance
High costs
Wasteful duplication of efforts
Data that doesn’t mat...
Make Everything Transparent
@timoelliott
@timoelliott
Self-Governance
“Social norms” can be very powerful
Right-Sized Methodologies
IT/Cross Platform
Agile BI
Self-Service
@timoelliott
Handholding
“Hypercare” handholding
First reports are more expensive, but then just a
few days instead of 4-5 weeks. After...
Best Practice: Agile BI
“Agile BI is an approach that combines
processes, methodologies, organizational
structure, tools, ...
Inspiration from the “Agile Manifesto”
• The highest priority is to satisfy the customer through
early and continuous deli...
Best Practice: Adopt a Common Methodology
e.g. UK National Electricity Grid
Decide
Define
Develop
Deploy
Declare
@timoelli...
Best Practice: Introduce Data Driving Licenses
Source: Gartner@timoelliott
Trust But Verify
@timoelliott
Track Usage!
Support The Analytics Lifecycle
@timoelliott
Support the BI Lifecycle
Source: Gartner
@timoelliott
Conclusion
It’s All About the
Relationship!
@timoelliott
Where to Find More Information
@timoelliott
• “Cultivating Communities of Practice: A Guide to Managing Knowledge” Link
• ...
7 Key Points to Take Home
1. Old approaches are no longer enough
2. Self-service BI is a wonderful business opportunity
If...
Thank You!
Timo Elliott
VP, Global innovation Evangelist
Timo.Elliott@sap.com @timoelliott
Appendix
Business Intelligence Program
Create and monitor overall BI strategy
 Establish overall vision for leveraging the organiz...
Data Acquisition and Data Stewardship
Data Acquisition: Extract and transform data
 Create interfaces to source systems
...
BI Delivery
Execute projects
 Carry out infrastructure maintenance
 Track change requests and new projects
 Gather user...
Advanced Analytics
Manage business needs
 Monitor opportunities
 Define analysis scope
 Evaluate cost versus business b...
Training
Training
 Review training needs in the BICC and for business users
 Examine training needs in relation to speci...
Support
Support
 Establish a call-tracking and classification system
 Establish problem-solving techniques and tools
 D...
Vendor Management
Vendor relationship management
 Validate vendor portfolio with strategic and operational goals
 Collab...
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The Big Trends in BI Competency Centers (UPDATED)

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The Big Trends in BI Competency Centers (UPDATED)

  1. 1. The Big Trends in BI Competency Centers Timo Elliott, Innovation Evangelist, SAP March 2016 @timoelliott
  2. 2. Agenda • The Brave New World • What Changed? • Supporting “Modern BI” • The New BICC • Conclusion @timoelliott
  3. 3. Brave New World
  4. 4. First, Some Bad News: The BICC is (Officially) Dead “Beautiful plumage!”
  5. 5. “When Gartner started to cover BICC as a trend over 10 years ago, it turned out to be one of the biggest success factors for BI programs…. But: “all good things must come to an end” The BICC is Dead
  6. 6. Don’t Worry, It Turns Out BI is Also Dead…
  7. 7. Are You a BI-nosaur? @timoelliott
  8. 8. Are You an “IT-Centric Laggard”?! @timoelliott
  9. 9. Latest Gartner Magic Quadrant…. Mentions the word “users” 148x Mentions of “users” 148 @timoelliott
  10. 10. What Changed?
  11. 11. What Changed? New technologies mean new opportunities and new ways of working @timoelliott
  12. 12. “I Can Drive Myself, Thanks…” @timoelliott
  13. 13. Analytics Took Over the World Analytics is now the hottest trend in business, not just in IT Business people now want to have more access, and more control @timoelliott
  14. 14. The Rise of the Chief Innovation Officer and Chief Data Officer @timoelliott
  15. 15. The Future of the CIO Chief Innovation Officers Chief Infrastructure Officers
  16. 16. BICCs (Continue To!) Bring Big Benefits Survey conducted by BetterManagement.com 24% 26% 45% 45% 48% 74% Decreased software costs Decreased staff costs Better understanding of the value of BI Increased decision-making speed Increased business user satisfaction Increased usage of Business Intelligence Organizations with a BICC see the following benefits: @timoelliott
  17. 17. But BICCs Haven’t Actually Been Driving BI Functions Driving Business Intelligence 0 0.5 1 1.5 2 2.5 3 3.5 4 4.5 BICC Marketing Strategic Planning Sales IT Operations Finance Executive management @timoelliott
  18. 18. Who Drives Business Intelligence? Executives Finance Operations IT Sales Strategic Planning Mktg BICC
  19. 19. BI Success… BI initiatives described as "successful" dropped from 41% to 35% in 2015 Source: TechTaget
  20. 20. The Penetration of BI Remains Low “Close to 40% of organizations report fewer than 10% of employees using BI” Techtarget, 2015
  21. 21. Do People Actually USE Data? Room for improvement… @timoelliott
  22. 22. Enterprise systems are too slow 31% wait days or weeks for an average BI request @timoelliott
  23. 23. Enterprise BI: too little data, and too hard to use @timoelliott
  24. 24. Business Users Do Not Fully Trust Enterprise Data @timoelliott
  25. 25. So users turn to their own systems… 40% are using an equal amount or more of homegrown applications @timoelliott
  26. 26. Hubris @timoelliott
  27. 27. New Conflicts Internally-oriented Costs Governance Efficient reuse Customer-facing Opportunities Flexibility and speed Experimentation IT Business @timoelliott
  28. 28. “Do business people see you as Uber? Or the taxi company?”
  29. 29. Supporting Modern BI
  30. 30. Data-Driven Approach Push: • From IT • Data-Driven • Data to Insight • Technology-Centric @timoelliott
  31. 31. Value-Driven Approach Pull: • From LOB • Outcome-Driven • Insight to Data • Use-Case-Centric @timoelliott
  32. 32. Combination Approach Push: • From IT • Data-Driven • Data to Insight • Technology-Centric Pull: • From LOB • Outcome-Driven • Insight to Data • Use-Case-Centric @timoelliott
  33. 33. You Need Both of These @timoelliott
  34. 34. “Modern BI” Source: Gartner @timoelliott
  35. 35. “Modern BI” DATA Self-service data preparation Structured / Unstructured Internal / External Batch / Streaming Integration, blending Cleansing, augmentation Agile modeling BI DB Columnar In-memory NoSQL Self-service data analysis Data discovery Visual exploration Dashboards / storytelling Agile Iteration Optional Data warehouse Semantic layers OLAP Cubes End users (and IT) IT
  36. 36. “…currently dominated by IT-centric platforms, but many will be replaced by modern BI platforms over time “new market guide since mature market, not much net new buying or differentiation” What Happened to “Traditional BI”? @timoelliott
  37. 37. Systems of Insight “Earlier-Generation BI Is No Longer Enough” • Earlier-generation BI can’t keep up in the age of the customer. • Agile BI and big data are the building blocks of systems of insight Source: Forrester Research, Inc. Systems of insight Big data Earlier- generation BI and analytics Agile BI Less More Less More Business agility Amount and availability of data @timoelliott
  38. 38. We Still Need Industrial Scale BI and Reporting Where did that number come from?! Why all these information silos?! What about security and administration?! @timoelliott
  39. 39. Traditional, IT-Led BI still makes up 75% of BI Revenue "About $12Bn of the $16Bn BI revenue is no longer on the quadrant” @timoelliott
  40. 40. Change Is Good — You Go First IT people are open to the idea — but in no hurry… @timoelliott
  41. 41. The Role of Central IT in Modern BICCs? Everything in moderation (doh!) @timoelliott
  42. 42. Top BI Functionality 18% 19% 25% 35% 53% 69% Query & Analysis Data Discovery Alerts Dashboards Reports Spreadsheets Source: InformationWeek BI Survey 2015 To what extent are the following technologies used to share analytic and BI insights in your organization? Used extensively: Source: InformationWeek BI Survey 2015@timoelliott
  43. 43. The New BICC
  44. 44. So What Replaces BICCs? (According to Gartner) Long live the “Analytic Community of Excellence”! @timoelliott
  45. 45. Updating the Traditional BICC to Include Community A Business Intelligence Competency Center (BICC) is a cross-functional organizational team that has defined tasks, responsibilities, roles, and skills for supporting and promoting the effective use of Business Intelligence* across an organization * AKA Analytics, Big Data, Data Science, etc. @timoelliott
  46. 46. It’s About Culture Change First and Foremost From Power to Empower From Collection to Connection From Control to Trust New BICCs are about providing good governance and encouraging best practice rather than providing reports and analytics @timoelliott
  47. 47. From Power to Empower @timoelliott
  48. 48. “If you don’t reveal some insights soon, I’m going to be forced to slice, dice, and drill!” TimoElliott.com Start Asking Questions • Does you really understand the users and their needs? • Is the reporting in the central system a true picture of overall reporting activity? • Do management have an accurate overview of reporting activities? • How should you involve management in prioritizing and setting strategic directions? • Are you perceived as a help or a bottleneck? • Where could you really make a difference? • What are the new requirements in terms of speed, flexibility, and simulation? @timoelliott
  49. 49. Consider an External Audit “I can recommend this exercise. I know a lot of departments who work with BI think they know their users, what they’re doing, and what their needs are – but unless you’ve done a real investigation of this, I would challenge you that you will find stuff you didn’t know existed.” – Anders Reinhardt, Global BI Manager, Velux @timoelliott
  50. 50. The Traditional BICC Setup Business Intelligence that is: • Standardized • Repeatable • Clearly understood across the company Regular, well-communicated releases • Jointly agreed between Business and IT • Facilitates the business areas planning and scheduling of report requests A steering group of senior management • Majority business leaders with strong representation from IT Clear measurements to follow up performance • Usage and user feedback @timoelliott
  51. 51. “A new extension? That’ll cost ya, guv…” @timoelliott
  52. 52. “And would you like some fresh reports with that, Sir?” @timoelliott
  53. 53. “You fly the planes — we just make sure you don’t crash into each other”@timoelliott
  54. 54. Embrace Shadow IT Don’t fight back—be a co-conspirator… @timoelliott
  55. 55. Build a Community • Co-located wherever possible • Regular meetings • External speakers • Shared best practice • Leverage social • Governed by the community @timoelliott
  56. 56. Organization @timoelliott
  57. 57. The Main Functions and Responsibilities of a BICC All of this is still important — but should be pushed to the community as a whole Source: Capgemini BICC Study @timoelliott
  58. 58. Functional Areas of the BI Competency Center Text Business Intelligence Program BI Delivery Data Stewardship Training Advanced Analytics Support Vendor Management Data Acquisition Executive Sponsor @timoelliott
  59. 59. Functional Areas of the BI Competency Community Text Business Intelligence Program BI Delivery Data Stewardship Training Advanced Analytics Support Vendor Management Data Acquisition Executive Sponsor IT Community Business @timoelliott
  60. 60. Leverage Social Platforms @timoelliott
  61. 61. Store, maintain, integrate data Implement changes Summarize and analyze Discover and explore Link to corporate strategy Alter processes Prioritize and set expectations Gather requirements Evangelize Monitor satisfaction Interpret results Develop alternatives Identify data Extract data Validate data Engineering skills Analysis skills Relationship skills Leadership skills BICC Key Skills @timoelliott
  62. 62. The Right Tools Broad, Powerful Tools Detailed, Precision Tools @timoelliott
  63. 63. Fewer BI Tools Correlated with Higher Success BI Standardization The pragmatic reduction of the number of overlapping BI tools
  64. 64. Invest in Self-Service Data Discovery Tools “Through 2020 spending on self-service visual discovery and data preparation market will grow 2.5x faster than traditional IT-controlled tools for similar functionality” – IDC @timoelliott
  65. 65. Revenge of the Full Client Long live Deski’s descendants @timoelliott
  66. 66. Invest in Self-Service Data Preparation SAP Agile Data Preparation AKA “Data Blending” — combine, merge, cleanse data @timoelliott
  67. 67. Invest in New Technology Areas Makes sense A bit confusing @timoelliott
  68. 68. Invest in Communications Effective communication is the bedrock of a successful BICC — Involves skills that aren’t always part of the staff hiring process @timoelliott
  69. 69. @timoelliott
  70. 70. Celebrate Success! @timoelliott Promote contest Help prepare entries Ask Execs to judge Award prizes Promote winners
  71. 71. Support Data Visualization Not using pie charts Ease of use, training, data quality, incentives, organization, process, etc. etc. Importance for BI Success of: @timoelliott
  72. 72. BUT Visualization Sells @timoelliott
  73. 73. Flashy graphics can make useful sales tools early on in the lifecycle of rolling out data visualization — but encourage best practice as soon as possible So… @timoelliott
  74. 74. Integrate BI into Executive Decision Cycles When was the last time you audited your decision-making processes? US Retailer Fully interactive, data-based screens Questions answered there and then, no leaving the meeting until a decision is made @timoelliott
  75. 75. Invest in Advanced Analytics@timoelliott
  76. 76. Cloud Analytics Can Help Agility It’s not Pie in the Sky! Data gravity: BI in the cloud when the data’s in the cloud @timoelliott
  77. 77. Be Proactive: Drive Innovation Design thinking is a methodology to unlock solutions to questions you never would have asked Understand Ideate Prototype Test Build Deliver @timoelliott
  78. 78. From Collect to Connect Data Wranglers needed @timoelliott
  79. 79. A Central Source of Truth? Having centralized “source of truth” appears to correlate BI success… [But we’re maybe asking the wrong people]
  80. 80. Is Centralized Truth Dead, Too? “So we don’t need a centralized truth?!” “Absolutely. Never worked, doesn’t work, will not work” Gartner Analyst @frankbuytendijk
  81. 81. Most of the data users need isn’t in the system “We found, on average, that 45% of the data business people use resides outside of the enterprise BI environments. An astonishingly miniscule 2% of business decision-makers reported using solely enterprise BI applications.” - Forrester 55% 45% In enterprise systems Not in enterprise system “By 2019, 75% of analytics solutions will incorporate 10 or more external data sources” - Gartner @timoelliott
  82. 82. Leave Data Where It Is (as much as possible) Data Warehouse Hybrid Transaction/ Analytical Processing Hadoop, MongoDB, Spark, etc Personal Data / BI Where does data arrive? When does it need to move? Where does modeling happen? What can users do themselves? What governance is required? Big Data Architectures got complicated What we want — consistent, seamless solution @timoelliott
  83. 83. Sandbox @timoelliott
  84. 84. 84© 2015 SAP SE or an SAP affiliate company. All rights reserved.@timoelliott
  85. 85. From Control To Trust
  86. 86. Information Governance “Stopping people from doing dumb things with data” (Yes, it’s a VAST topic…)@timoelliott
  87. 87. What Can (And Typically Does) Go Wrong Without Governance High costs Wasteful duplication of efforts Data that doesn’t match Shiny objects Lack of ROI Security / Legal considerations IT eventually has to support @timoelliott
  88. 88. Make Everything Transparent @timoelliott
  89. 89. @timoelliott Self-Governance “Social norms” can be very powerful
  90. 90. Right-Sized Methodologies IT/Cross Platform Agile BI Self-Service @timoelliott
  91. 91. Handholding “Hypercare” handholding First reports are more expensive, but then just a few days instead of 4-5 weeks. After six months, saving of 40% in the development time @timoelliott
  92. 92. Best Practice: Agile BI “Agile BI is an approach that combines processes, methodologies, organizational structure, tools, and technologies that enable strategic, tactical, and operational decision makers to be more flexible and more responsive to the fast pace of customer, business, and regulatory requirements changes.” – Forrester @timoelliott
  93. 93. Inspiration from the “Agile Manifesto” • The highest priority is to satisfy the customer through early and continuous delivery of analytics. • Welcome changing requirements, even late in development. Agile processes harness change for competitive advantage. • Deliver working projects frequently, from a couple of weeks to a couple of months, with a preference to the shorter timescale. • Business people and analytics staff must work together daily throughout the project. • Build projects around motivated individuals. Give them the environment and support they need, and trust them to get the job done. • The most efficient and effective method of conveying information to and within a development team is face-to- face conversation. • Delivered, used analytics is the primary measure of progress. • Agile processes promote sustainable development. The sponsors, developers, and users should be able to maintain a constant pace indefinitely. • Continuous attention to technical excellence and good design enhances agility. • Simplicity — the art of maximizing the amount of work not done — is essential. • The best architectures, requirements, and designs emerge from self-organizing teams. • At regular intervals, the team reflects on how to become more effective, then tunes and adjusts its behavior accordingly. Adapted from: http://agilemanifesto.org/ @timoelliott
  94. 94. Best Practice: Adopt a Common Methodology e.g. UK National Electricity Grid Decide Define Develop Deploy Declare @timoelliott
  95. 95. Best Practice: Introduce Data Driving Licenses Source: Gartner@timoelliott
  96. 96. Trust But Verify @timoelliott
  97. 97. Track Usage!
  98. 98. Support The Analytics Lifecycle @timoelliott
  99. 99. Support the BI Lifecycle Source: Gartner @timoelliott
  100. 100. Conclusion
  101. 101. It’s All About the Relationship! @timoelliott
  102. 102. Where to Find More Information @timoelliott • “Cultivating Communities of Practice: A Guide to Managing Knowledge” Link • SAP BICC Playlist on YouTube: Link • SAP BICC Best Practices Guide: Link • SAP BI Self Assessment : www.sap.com/bistrategy • SAP BI Strategy Playlist on YouTube: Link • Follow me on Twitter! @timoelliott • Read my blog! http://timoelliott.com
  103. 103. 7 Key Points to Take Home 1. Old approaches are no longer enough 2. Self-service BI is a wonderful business opportunity If done right, can dramatically improve business agility and IT/Business alignment 3. But it requires new cultures and ways of working You’re no longer in charge — and everybody has to compromise 4. Pragmatism is the name of the game It’s not about doing the least-worst, most-right job, focusing on building usage 5. Community is the essential pillar No one person or team can do this alone — build momentum and listen to feedback 6. Look for opportunities to simplify It’s not about technology, but the right technology can help agility 7. Keep up momentum and success Look out for teaching opportunities, and market success widely and often @timoelliott
  104. 104. Thank You! Timo Elliott VP, Global innovation Evangelist Timo.Elliott@sap.com @timoelliott
  105. 105. Appendix
  106. 106. Business Intelligence Program Create and monitor overall BI strategy  Establish overall vision for leveraging the organization’s information assets  Sets business improvement strategy, set targets and track success  Manage organizational change  Determine and standardize information sources  Enable collection and consolidation Gather and share knowledge  Give advice and coaching to business users on how to use BI and interpret results  Keep track of new trends and technologies and map them to the organizations needs  Define information audiences and information access rights  Define best-practice infrastructure, methodologies, and standards  Establish and maintain a corporate knowledge base Run BICC  Business planning for the BICC aligned with organization’s strategic and operational goals  Promote use of the BICC and its services within the organization  Define and monitor BICC-related KPIs  Recruit and train staff  Establish billing processes (if appropriate)
  107. 107. Data Acquisition and Data Stewardship Data Acquisition: Extract and transform data  Create interfaces to source systems  Standardize rules and jobs for data extraction  Monitor performance and optimization  Create data integration processes  Strengthen the role and use of metadata  Establish common data definitions across the organization: “one version of the truth” Data Stewardship: Trusted, tracked information  Accurate, consolidated information  Agree on data definitions and standards  Establish definition verification program  Define reconciliation processes  Define metadata and business rules  Conduct data quality improvements  Enable impact analysis and data tracking  Ensure communication to and participation of all parties
  108. 108. BI Delivery Execute projects  Carry out infrastructure maintenance  Track change requests and new projects  Gather user requirements and feedback  Execute project management, including technical change management  Establish development, testing, and promotion processes  Collaborate with IT functions Document and evolve best practice guidelines  Execute project review and evaluation  Publish documentation and usage guidelines  Determine format, channel, and content appropriate for each user profile  Monitor adherence to access restrictions and other rules  Monitor and improve performance, clarity, and layout  Develop and implement organizational reporting standards
  109. 109. Advanced Analytics Manage business needs  Monitor opportunities  Define analysis scope  Evaluate cost versus business benefit  Estimate effort for complex tasks Data preparation and validation  Collaborate with data acquisition and data stewardship functions Research and knowledge sharing  Establish and implement analytical methodologies, models, and standards
  110. 110. Training Training  Review training needs in the BICC and for business users  Examine training needs in relation to specific projects  Determine training types and media (instructor-based training, e-learning, coaching, appropriate literature…)  Develop training plan and materials  Organize logistics  Interface with external suppliers  Evaluate training  Facilitate knowledge transfer
  111. 111. Support Support  Establish a call-tracking and classification system  Establish problem-solving techniques and tools  Define an answering and escalation routine  Define service-level agreements  Technical support: establish interfaces to IT department and vendors  Business support: establish interfaces to business departments
  112. 112. Vendor Management Vendor relationship management  Validate vendor portfolio with strategic and operational goals  Collaborate with strategic vendors License management  Monitor adherence to vendor license regulations  Review and optimize license usage  Renegotiate contracts Bidding processes  Review and create input for proposals, contracts, etc.  Conduct vendor evaluations and approval

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